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Allen Control Systems

Robot type
Defense
Location
AustinTexasUSA
Job type
Artificial Intelligence
Posted
May 14, 2025
Salary
$94,000–$270,000 a year
Full-time

Computer Vision & Machine Learning Engineer - All Levels

Job description

Company Overview ACS (Allen Control Systems) is a defense technology company building precision robotic systems for the United States and its allies. Founded by two former U.S. Navy electrical engineers with deep experience in robotics and software, ACS brings together AI, computer vision, precision motion, and advanced hardware to solve complex defense challenges across land, air, and maritime environments.

Our flagship product, Bullfrog, is an autonomous precision weapon system that transforms existing weapons into highly accurate counter-drone systems — giving warfighters a scalable, cost-effective response to one of the fastest-growing threats on the modern battlefield.

Job responsibilities

  • Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification on our autonomous gun turret.
  • Design and implement machine learning models capable of operating in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate with electrical engineers to integrate computer vision systems into the turret’s hardware architecture;
  • Conduct extensive testing and validation of CV algorithms across diverse scenarios to ensure robustness and performance under varying environmental conditions.

Job requirements

  • 4+ years of experience in machine-learning-based computer vision, ideally in the context of robotics or autonomous systems;
  • Proven track record developing and deploying computer vision systems, ideally in real-time or safety-critical applications;
  • Proficiency in Python and C++; hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with embedded systems and integrating CV algorithms into hardware; familiarity with sensors such as cameras, LiDAR, and radar and their integration into autonomous systems.

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